Wangpeng He1,*, Yue Zhou1, Xiaoya Guo2, Deshun Hu1, Junjie Ye3
CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2495-2511, 2023, DOI:10.32604/cmes.2023.027896
Abstract In today’s world, smart electric vehicles are deeply integrated with smart energy, smart transportation and smart
cities. In electric vehicles (EVs), owing to the harsh working conditions, mechanical parts are prone to fatigue
damages, which endanger the driving safety of EVs. The practice has proved that the identification of periodic
impact characteristics (PICs) can effectively indicate mechanical faults. This paper proposes a novel model-based
approach for intelligent fault diagnosis of mechanical transmission train in EVs. The essential idea of this approach
lies in the fusion of statistical information and model information from a dynamic process. In the algorithm, a novel… More >
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